SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Benchmark Model Rank Results
image-classification-on-objectnetSigLIP 2 (g/16)#2Top-1 Accuracy: 88.0
open-vocabulary-semantic-segmentation-on-ade20k-150SigLIP 2 (L/16) + Cat-Seg#2mIoU: 38.8
visual-grounding-on-refcoco-valSigLIP 2 (g/16) + decoder#6Accuracy: 88.45
linear-probe-semantic-segmentation-on-ade20kSigLIP 2 (So/14, 384px) + linear#10mIoU: 45.4
image-classification-on-imagenet-v2SigLIP 2 (g/16)#17Top 1 Accuracy: 79.8